DFT-BASED CHANNEL ESTIMATION IN GENERALIZED FREQUENCY DIVISION MULTIPLEXING FOR TACTILE INTERNETAPPLICATION

• Main Author: KAUTSAR PERMANA - NIM: 23216097 , AL
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/25389
• Institution: Institut Teknologi Bandung

<p align="justify">In this reseacrh, DFT-based channel estimation is proposed in generalized frequency division multiplexing (GFDM) system. Due to non-orthogonal subcarrier introduced in GFDM system, pilot symbol observation is unclear because of interference from neighbor data symbol as well as noise. This estimation channel method improves LS channel estimation method by eleminating estimated channel impulse response outside the number of actual impulse response. Therefore, the receiver has to know the number of channel taps. Elemination of this channel impulse response leads to better rejection of interference and noise. Hence, improvement can be achieved. The received signal is then devided with transmitted pilot symbol to obtain channel response. Interpolation in frequency and time should be conducted in order to acquire channel response for all GFDM block. Then, DFT-based channel estimation algorithm is applied for improving LS channel estimation. Moreover, parameter of this system is adjusted so that appropriate for tactile internet application. Channel model that we used is NYUSIM. Three scenarios provided in NYUSIM such as urban microcell, urban macrocell, and rural macrocell are applied and power delay profile generated from NYUSIM simulator is used in this system. The result shows that mean square error (MSE) from DFT-based channel estimation gives significant improvement for all scenarios. In addition, symbol error rate (SER) of DFT-based channel estimation provides slightly enhancement 1,5 dB than LS channel estimation.<p align="justify"> <br />